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docs: Update for new encoderfile file format #238
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javiermtorres
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LGTM. I'll try to go over the generation process next week and make sure there are no hidden catches.
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| The source code for the base binary to which model artifacts are appended can be found in the [encoderfile-runtime](https://github.com/mozilla-ai/encoderfile/tree/main/encoderfile-runtime) crate. By default, the encoderfile CLI pulls pre-built binaries from Github Releases. Currently, we offer pre-built binaries for `aarch64` and `x86_64` architectures of `unknown-linux-gnu` and `apple-darwin`. | ||
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| Base binaries are built in a `debian:bookworm` image and are compatible with glibc ≥ 2.36. If you are using an older version of glibc, see instructions on compiling custom base binaries below. |
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we could think about a much more barebones approach with alpine (I guess unikernels are not really used anymore). I'll open an issue if you think it's worth it.
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